• Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models • Contribute to one or more of the following areas: attribution modeling, CAC/mCAC modeling, LTV prediction, marketing mix modeling and multichannel attribution and testing • Design experiments and interpret the results to draw detailed and actionable conclusions • Work in cross-functional teams across disciplines such as product, engineering and business. • Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency

Title: Plasma Diagnostics Scientist Locations: Woburn, MA Vancouver, Canada Madison, WI Knoxville, TN Department: Engineering hybrid Job Description: If you are searching for the best new ideas and share our vision, join us as a Plasma Diagnostics Scientist. This is what you need to know: Location: Knoxville TN, Madison WI, Boston MA ,Vancouver BC or Culham UK Salary: Highly Competitive Plus Benefits Contract: Permanent, full time Reporting to: Director of Electrical and Software Engineering Your role in the mission: Type One Energy is seeking a Scientist with experience in fusion plasma diagnostics to join its growing team. As a Scientist, you will be responsible for leading a subset of diagnostic systems to support scientific investigations on our advanced fusion stellarator including development, deployment and operation. Your expertise will be instrumental in driving progress and ensuring the successful operation of diagnostic systems critical to achieving our research and commercial goals. The ideal candidate will also give technical advice and otherwise contribute to other teams of Engineers and Scientists on similar projects throughout Type One Energy. Responsibilities - Lead the conceptualization, design, construction, and deployment of a subset of plasma diagnostics such as probes, magnetics, microwaves, infrared, spectroscopy, lasers, optical, x-ray, and/or neutronics systems to ensure they meet technical feasibility. - Develop and apply data analysis and models to set requirements for plasma diagnostics and other in-vessel stellarator systems - Participate in planning, execution, and analysis of experiments. - Mentor and provide guidance to junior scientists and engineers, fostering a collaborative and productive work environment. What you’ll need: - Ph.D. in Physics, Engineering, or a related field with a strong focus on plasma physics, fusion energy, and/or diagnostics. - Extensive experience in designing, developing, and operating advanced diagnostic systems for fusion or plasma physics experiments. - Strong knowledge of diagnostic techniques and instrumentation commonly used in plasma physics, such as spectroscopy. - Proficiency in data acquisition, analysis, and interpretation using scientific software and programming languages (e.g., Python, MATLAB). - Excellent problem-solving skills with the ability to troubleshoot and resolve technical issues related to diagnostic systems. - Strong communication and interpersonal skills to collaborate effectively with multidisciplinary teams, present findings to diverse audiences, and contribute to scientific publications and proposals. - Familiarity with safety protocols and procedures related to fusion experiments and diagnostics. - Knowledge of fusion stellarator concepts, including device physics and operational requirements, is highly desirable We offer: In addition to a basic salary and yearly bonus, you will also get… - A hybrid work policy - Stock options - Relocation allowance - Insurance plans - Retirement options - And many more great voluntary benefits Type One Energy applies proven advanced manufacturing methods, modern computational physics and high-field superconducting magnets to develop its optimized stellarator fusion energy system. Our FusionDirect development program pursues the lowest-risk, shortest-schedule path to a fusion power plant over the coming decade, using a partner-intensive and capital-efficient strategy. Type One Energy is committed to community engagement in the development and deployment of its clean energy technology. Equal Opportunity Statement Type One Energy is an equal opportunity employer. We value diversity, searching for the best new ideas and remaining open to unique perspectives. Therefore, all qualified applicants will receive consideration for employment independent of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristics protected by applicable federal, state, or local laws. All qualified individuals are encouraged to apply.

Title: Health IT Data Scientist Location: Washington, DC Job Description: Red Pulley Technology Solutions, Inc. is seeking a Health IT Data Scientist II to support the ICE Health Service Corps (IHSC) Health Information Technology Unit (HITU) Enterprise Health IT Staffing and Professional Services Support program. This role applies statistical, predictive, and exploratory analytic techniques to complex healthcare and operational data to generate insights that inform strategic planning, performance monitoring, and evidence-based decision-making. All development, configuration, and implementation activities performed by this role are conducted within authorized Government-managed platforms and environments, subject to Government oversight, direction, and approval, with written authorization required prior to deployment to production environments. U.S Citizenship Required Location: Washington, DC Metro Area, DMV Area Clearance: Public Trust - Preliminary and Complete Fitness Determination Required Employment Type: Full-Time Minimum Qualifications: • Advanced degree or equivalent experience in Data Science, Statistics, or a related quantitative field • Advanced expertise applying statistical, predictive, and exploratory analytics to healthcare and operational data • Experience designing and implementing data models, forecasts, and analytic methodologies • Strong knowledge of healthcare data domains, including utilization, cost, quality, and performance metrics • Experience conducting cost modeling, trend analysis, and scenario forecasting • Skill in communicating complex analytic findings through reports, dashboards, and executive briefings Requirements Preferred Qualifications • Experience collaborating with Data Engineers to operationalize and scale analytic models • Experience developing repeatable analytic frameworks and methodologies for enterprise use • Familiarity with federal healthcare data governance, privacy, and security requirements • Experience supporting high-priority, time-sensitive analytical requests for senior leadership Key Responsibilities • Design and execute advanced data analysis, predictive models, and statistical methodologies using healthcare and operational data • Perform cost modeling, utilization analysis, trend analysis, and forecasting to support strategic planning • Collaborate with Data Engineers to operate analytic models and ensure scalability • Develop repeatable analytic frameworks and methodologies for enterprise use • Validate data sources, analytic assumptions, and model outputs to ensure accuracy and reliability • Translate analytic results into actionable insights through reports, dashboards, and executive briefings • Support leadership requests for high-priority, time-sensitive analyses • Document analytic methodologies, assumptions, and limitations Benefits: At Red Pulley Technology Solutions, we invest in our people so they can deliver exceptional results in support of critical missions. Our comprehensive benefits package includes: - Competitive compensation aligned with experience and market conditions - 401(k) retirement plan with company matching to support long-term financial security - Comprehensive health coverage, including medical, dental, and vision insurance - Health Savings Account (HSA) and Flexible Spending Account (FSA) options - Life insurance coverage for added peace of mind - Generous paid time off (PTO) to support work-life balance - Parental leave for growing families - Professional development assistance, including training and certification support - Tuition reimbursement to encourage continued education and career advancement Our benefits reflect Red Pulley’s commitment to workforce stability, professional growth, and creating an environment where mission-focused professionals can thrive. Affirmative Action/EEO statement Red Pulley is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Title: Senior Data Scientist Location: Remote, US Full Time Employee Full-Time Remote, US 6 days agoRequisition ID: 1814 Apply Salary Range:$78,900.00 To $187,200.00 Annually Position Title: Senior Data Scientist Requisition ID: 1814 Position Location: Remote Position Reports To: Associate Data Science Manager Supervises Others: No At Trident Systems, we believe that strong engineering principles are fundamental to driving innovation and solving complex problems. We promote a culture characterized by rigorous engineering practices and a commitment to continuous improvement. This is achieved by leveraging our organization's collective expertise through collaborative development processes, which include thorough design and peer reviews. We can deliver innovative, high-performance solutions that meet our customers' evolving requirements by integrating our specialized knowledge in aerospace electronic systems with appropriately scaled development methodologies. We are a mission partner supporting DoD, Intelligence Community, and Civil space customers. We develop complex, radiation effects mitigated, designs that balance competing requirements in modern space programs, delivering cutting-edge solutions that enable our customers to achieve more in space Position Summary This position will be part of the Predictive Maintenance and Logistics Team supporting Department of Defense (DoD) customers on projects that leverage advanced technologies including machine learning, artificial intelligence (ML/AI), and cloud infrastructure. The Senior Data Scientist will contribute to the development, evaluation, and deployment of data-driven models focused on time-series telemetry and operational system data. The role emphasizes hands-on Python development using modern machine learning frameworks, working with real-world sensor and telemetry data to build models that support health monitoring, anomaly detection, forecasting, and decision support. The Senior Data Scientist will collaborate closely with engineers, data visualization specialists, and program leadership to transition analytical solutions from research into operational environments. U.S. citizenship and the ability to obtain a security clearance are required. Duties and Responsibilities - Develop and evaluate machine learning models using Python to analyze time-series and telemetry data. - Perform data exploration, feature engineering, and preprocessing on structured and semi-structured datasets. - Utilize natural language processing and probabilistic modeling to extract data from maintenance records. - Develop Physics-informed models based on the known relationships of signals for systems with low historical data available. - Implement algorithms for anomaly detection, predictive modeling, and trend analysis in operational data. - Support model validation, performance evaluation, and documentation. - Contribute to the deployment of models into production and embedded environments in coordination with engineering teams. - Collaborate with data visualization and software teams to integrate model outputs into dashboards and decision-support tools. - Document methodologies, assumptions, and results for technical and non-technical stakeholders. - Stay current with emerging machine learning techniques and apply best practices to ongoing projects. - Ability to support travel or off-site work, as needed - Perform other duties as assigned. Required Qualifications - Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field with 4+ years of experience, or Bachelor’s degree in a related field with 6+ years of relevant experience (or equivalent experience in lieu of a degree). - Proficiency in Python for data analysis and machine learning. - Experience with common machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, or similar). - Experience with natural language processing techniques and toolchains. - Familiarity with time-series data, telemetry, or sensor-based datasets. - Working knowledge of data analysis tools such as NumPy, Pandas, and SciPy. - Ability to communicate technical concepts clearly in both written and verbal form. - Strong analytical thinking and problem-solving skills. - Must be a U.S. Citizen with the ability to obtain and maintain a security clearance. Preferred Qualifications - Experience applying machine learning to predictive maintenance, health monitoring, or operational analytics on time-series data systems. - Experience applying advanced techniques to extract meaningful data from bulk maintenance records to inform future maintenance actions. - Exposure to model deployment concepts (e.g., batch pipelines, APIs, or edge/embedded environments). - Familiarity with cloud platforms or big data environments. - Experience working in a government or DoD context. - Familiarity with the relationship between engine signals and performance. - Knowledge of version control (e.g., Git) and collaborative development workflows. Pay Information Full-Time Salary Range: $78,900 - $187,200 Please Note: Actual compensation offered will be determined based on several factors including, but not limited to, relevant experience, skills, education, certifications, internal equity, business considerations, and geographic location where applicable. Benefits Hired applicants may be eligible for benefits including but not limited to: - Health benefits - Medical - Dental - Vision - Basic life with AD&D - Short term disability - Long term disability - Ancillary (Voluntary life with AD&D, accident, critical illness, hospital, and pet) - Spending accounts (HSA, FSA, and DCFSA) - Paid time off - Holidays - 401(k) (including company match) - Tuition reimbursement - Leaves (Parental, maternity, and military) - Annual discretionary bonus (for eligible roles) - Potential annual bonus Trident Systems reserves the right to change or assign other duties to this position. Trident Solutions is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. To request reasonable accommodation to participate in the job application or interview process, please contact recruiting@tridsys.com. Pay Transparency: The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)